Single-Pixel Imaging with Origami Pattern Construction

Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruct...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 19; no. 23; p. 5135
Main Authors Yu, Wen-Kai, Liu, Yi-Ming
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 23.11.2019
MDPI
Subjects
Light
Noise
Phase transitions
Sparsity
ghost imaging
single-pixel imaging
compressed sensing
pattern construction
image reconstruction
computational imaging
efficient data acquisition
sub-Nyquist sampling
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Summary:Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruction. Here, we propose a single-pixel imaging method based on a deterministic origami pattern construction that can lead to a more accurate pattern ordering sequence and better imaging quality. It can decrease the sampling ratio, closer to the upper bounds. The experimental realization of this approach is a big step forward towards practical applications.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s19235135